Data Scientist - NLP/Generative AI

Key Responsibilities: - Design and implement advanced machine learning models and AI algorithms to solve business challenges. - Lead and manage data science projects, from problem formulation to model deployment and monitoring. - Develop and/or fine-tune Large Language Models (LLMs) and other state-of-the-art AI/ML techniques for practical applications. - Collaborate with cross-functional teams including product, engineering, and business stakeholders to understand requirements and deliver effective solutions. - Analyze large datasets to extract insights and develop predictive models that enhance business decision-making. - Drive innovation in AI/ML methodologies, ensuring the application of best practices in data science. - Perform exploratory data analysis, feature engineering, and data preprocessing to improve model performance. - Contribute to the development of data pipelines, model deployment strategies, and model performance evaluation. - Mentor junior data scientists, providing technical guidance and fostering a culture of learning and growth. Key Skills & Qualifications : - 5-10 years of experience in data science, machine learning, and AI. - Expertise in AI/ML, data science, and advanced analytics techniques. - Strong experience with Large Language Models (LLMs) and deep learning frameworks (e.g., TensorFlow, PyTorch). - Proficiency in programming languages such as Python, R, or similar. - Strong knowledge of machine learning algorithms, natural language processing (NLP), and deep learning techniques. - Experience with model deployment, monitoring, and scaling in a production environment. - Solid understanding of statistical analysis, data visualization, and data wrangling. - Ability to interpret complex datasets, identify patterns, and generate actionable insights. - Strong communication skills, with the ability to convey technical concepts to non-technical stakeholders. - Hands-on experience with data manipulation and analysis tools such as Pandas, NumPy, and scikit-learn. - Familiarity with cloud platforms (e.g., AWS, GCP, Azure) is a plus. Preferred Qualifications : - Advanced degree (MS or Ph.D.) in Computer Science, Data Science, Statistics, or a related field. - Experience in developing and fine-tuning NLP models and generative AI techniques. - Familiarity with data engineering tools and platforms (e.g., Apache Spark, Hadoop). - Knowledge of model interpretability and explainability techniques (ref:hirist.tech)

Location: bangalore, IN

Posted Date: 4/19/2025